Factors Influencing the Purchase of Battery Electric Vehicles (BEVs)

This research aims to identify the key factors influencing the new registrations of battery electric vehicles (BEVs) in Germany. Focusing the topics economy, mobility change and climate sustainability a mixed-methods approach was used combining a regression analysis based on public databases and qualitative interviews with experts, represented by vehicle testing organizations, BEV leasing companies, car dealerships and automotive magazines. The study revealed similarities as well as discrepancies between expert opinions and the regression analysis results in the fields of real GDP, education rate, the average range of BEVs, the real estate price index, charging infrastructure and political conviction. Regarding practical implications, the results of this study help BEV manufacturers to enhance their marketing and product strategies. The findings of this study could help decision-makers to better understand the mind set of BEV customers.

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Publication Details

Journal
Tehnički glasnik
Published
2025-06-16
DOI
https://doi.org/10.31803/tg-2024052312222
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
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article

Factors Influencing the Purchase of Battery Electric Vehicles (BEVs)

Wanja Wellbrock, Daniela Ludin, Norbert Schreier, Johannes Hoffmann et al.
Tehnički glasnik
Electric Vehicles and Infrastructure
article

Factors Influencing the Purchase of Battery Electric Vehicles (BEVs)

Wanja Wellbrock, Daniela Ludin, Norbert Schreier, Johannes Hoffmann, Erika Mueller, Verena Szkudlarek
article en

Abstract

This research aims to identify the key factors influencing the new registrations of battery electric vehicles (BEVs) in Germany. Focusing the topics economy, mobility change and climate sustainability a mixed-methods approach was used combining a regression analysis based on public databases and qualitative interviews with experts, represented by vehicle testing organizations, BEV leasing companies, car dealerships and automotive magazines. The study revealed similarities as well as discrepancies between expert opinions and the regression analysis results in the fields of real GDP, education rate, the average range of BEVs, the real estate price index, charging infrastructure and political conviction. Regarding practical implications, the results of this study help BEV manufacturers to enhance their marketing and product strategies. The findings of this study could help decision-makers to better understand the mind set of BEV customers.

Tehnički glasnikVol. 19(3)
Esslingen University of Applied Sciences (DE), Heilbronn University (DE)
Openalex Percentile: Top 88%
Electric Vehicles and Infrastructure
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